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Updated: Mar 24, 2026
Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
Clinical application of a color map pattern on shear-wave elastography for invasive breast cancer
Seokwon Lee1, Younglae Jung1, Youngtae Bae1
1Department of Surgery, Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea.
Purpose:
The aim of this study was to classify the color map pattern on shear-wave elastography (SWE) and to determine its association with clinicopathological factors for clinical application in invasive breast cancer.
Methods:
From June to December 2014, 103 invasive breast cancers were imaged by B-mode ultrasonography (US) and SWE just before surgery. The color map pattern identified on the SWE could be classified into three main categories: type 1 (diffuse pattern), increased stiffness in the surrounding stroma and the interior lesion itself; type 2 (lateral pattern), marked peri-tumoral stiffness at the anterior and lateral portions with no or minor stiffness at the posterior portion; and type 3 (rim-off pattern), marked peri-tumoral stiffness at the anterior and posterior portion with no or minor stiffness at both lateral portions.
Results:
High-grade density on mammography (grade 3-4) was more frequent in the type 1 pattern than the other pattern types (80.5% in high-grade density vs. 19.5% in low-grade density). For type 1 tumors, the extent of synchronous non-invasive cancers (pT0), ductal carcinoma in situ (DCIS), was 1.8-2.0 times wider than that measured by US or magnetic resonance imaging (MRI). For type 2 tumors, the invasive tumor components (pT size) size was 1.3 times greater than measured by MRI (p = 0.049). On the other hand, the pT size and pT0 extent of type 3 tumors were almost equal to the preoperative US and MRI measurements. In terms of immunohistochemical (IHC) profiles, type 3 tumors showed a high histologic grade (p = 0.021), poor differentiation (p = 0.009), presence of necrosis (p = 0.018), and high Ki-67 (p = 0.002). The percentage of HER2-positive cancers was relatively high within the type 2 group, and the percentage of triple negative breast cancer was relatively high in the type 3 group (p = 0.011).
Conclusions:
We expect that assessments of the SWE color map pattern will prove useful for surgical or therapeutic plan decisions and to predict prognosis in invasive breast cancer patients.
